Real-time Vehicle Detection Based on Haar Features and Pairwise Geometrical Histograms
文献类型：会议论文
| 作者 | Xi Yong; Liwei Zhang; Zhangjun Song; Ying Hu; Lan Zheng; Jianwei Zhang |
| 出版日期 | 2011 |
| 会议名称 | 2011 International Conference on Information and Automation |
| 会议地点 | Shenzhen, China |
| 英文摘要 | The Pairwise Geometrical Histograms (PGH) is a generalization of Chain Code Histogram(CCH). It is a powerful shape descriptor that is applied to contours matching which is not affected by rotation. As we know, this method is seldom used for vehicle detection. Feature extraction is a very common and useful method of pattern recognition. In recent years, the Viola and Jones rapid object detection approach became very popular. In this paper, we combine the Haar features and PGH together for vehicle detection. We discuss three methods: the vehicle detection using only Haar features, Haar features combined with hu moments and Haar features combined with PGH. The experimental results show that the last one has the best performance. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/3355]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | 2011 |
| 推荐引用方式 GB/T 7714 | Xi Yong,Liwei Zhang,Zhangjun Song,et al. Real-time Vehicle Detection Based on Haar Features and Pairwise Geometrical Histograms[C]. 见:2011 International Conference on Information and Automation. Shenzhen, China. |
入库方式： OAI收割
来源：深圳先进技术研究院
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